ETL Engineer

Confirmed live in the last 24 hours

WorldStrides

1919 Gallows Road Suite 700 Vienna VA 22182

Remote

Posted April 13, 2026

Job Description

Company Introduction

WorldStrides is the global leader in educational travel and experiential learning. The company was founded in 1967 to provide middle school travel programs to Washington, D.C. and has grown to provide a wide range of programs for more than half a million students annually to over 100 countries around the world. WorldStrides offers experiential learning programs in educational travel, performing arts, language immersion, career exploration, service-learning, study abroad, and sports. Each of these experiences helps students to see beyond the classroom and to see the world – and themselves – in new ways.

Job Description:
The ETL Engineer develops, deploys, and maintains data stores for access by business users including marketing campaign specialists and business data analysts. The ETL Engineer is responsible for supporting and maintaining the data warehouse environment including SQL databases, scheduled jobs, and Python-based ETL processes. The ETL Engineer will be responsible for creating and maintaining data pipelines to support reporting needs and will ensure the quality and integrity of reporting data. The role requires attention to detail and quality. Key customers for the ETL Engineer will include data scientists, analysts, and marketing campaign specialists working in the domains of marketing, operations, customer insights, and finance.

Responsibilities:

Manage the structuring and maintenance of data sets for production of reporting and analytics
Build and optimize data pipelines to facilitate the extraction of data from multiple sources and delivery to multiple applications and teams
Reduce waste and improve data flow. This involves continually striving to reduce wasted effort, identify gaps and correct them and improve data development and deployment processes.
Acquire and update data from internal and external data providers
Execute automated testing at every stage of a pipeline to increase productivity while reducing errors
Create queries that allow data to be extracted and to streamline the data retrieval process
Monitor processes to quickly identify and resolve or elevate issues, and identify areas for improvement
Use automation to streamline data processing, automate manual processes, such as data extraction and testing.
Adopt new solutions to produce data more efficiently and with fewer errors. This includes testing and adopting solutions and tools that adhere to th